Technical Program Manager, AI Infrastructure
NVIDIA
NVIDIA has become the platform upon which every new AI-powered application is built. From healthcare research applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding... and NVIDIA is right in the center of this revolution. We are looking for a Technical Program Manager who will be a key member of the AI Infrastructure Software team which focuses on improving tooling efficiency, and maximizing productivity for the data-driven development of Autonomous Vehicles (AV) software.
We are a dynamic, startup-like environment with a strong focus on execution, flexibility and teamwork. We are looking for a highly motivated product manager who shares our real passion for building world class software.
What You Will Be Doing:
+ :Collaborate with teams across the company to plan and drive data close loop tool development initiatives
+ Drive scheduling and planning for all phases of the software development process
+ Manage and track critical issues related to data close loop tool/platform
+ Build and refine metrics to track the performance of the data factory, highlight opportunities for improvement and enable data-driven decision
+ Propose data mining strategy to fulfill development data needs, experiment and deploy the methodology, monitor results and continue refining
+ Continuously assess opportunities to accelerate data loop, propose automation solutions and execute on them
What We Need To See:
+ BS or MS in STEM or a related field or equivalent experience
+ 2+ years of experience in data engineering, data analytics or related field
+ Proficient in Python, SQL, familiar with ETL pipeline, Linux command
+ Excellent analytical and problem solving skills
+ Curious and passionate about innovation
+ Consistent track record to thrive in a fast-paced environment and bring order to ambiguous situations
+ Fluent English communication
Ways To Stand Out From The Crowd:
+ Experience with autonomous vehicles domain
+ Background in a startup environment
+ Experience in data close loop product management
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